Raspberry Pi based Intelligent Classroom Information and Management System using LBP Method

Abstract

Educational organizations are gradually using multi prevention models to deal with tutorial requirements of pupils. The underpinning of those methods is that the execution of widespread practices premeditated to backing the tutorial requirements of the overwhelming widely held scholars. Investigators and experts are trying to valid measures to support teachers for effective classroom practices, which are sensitive to vary over time. Knowing the information about the classwork, students' strength in a particular class, faculty details, passing the vital information to the students, alerting faculty with their classwork information, and automatic attendance system plays a key role in the smooth running of educational institutes or organizations. Particularly, in women colleges, passing the information about the ward to the parents and video surveillance is crucial. This paper aims at providing solutions for manual work to a great extent. The proposed system works using RaspberryPi 3 board with the display, face detection algorithm, face recognition using Local Binary Pattern method (LBP), GSM900, 4x4 Keyboard, mobile, and serial communication protocols. The new entrant to the campus will easily know about the college information and punctual working of the stakeholders in the campus. The unauthorized entry is detected using a webcam, and information is passed to the central unit for further action.